Control Conditions for Equal Power Sharing in Multi-Area Power Systems for Resilience Against False Data Injection Attacks

被引:1
|
作者
Ahmed, Zahoor [1 ]
Nasir, Muhammad [2 ]
Alsekait, Deema Mohammed [3 ]
Shah, Muhammad Zohaib Hassan [4 ]
Abdelminaam, Diaa Salama [5 ,6 ]
Ahmad, Furqan [7 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[2] Univ Tasmania, Sch Informat & Commun Technol, Hobart 7248, Australia
[3] Princess Nourah bint Abdulrahman Univ, Appl Coll, Dept Comp Sci, POB 84428, Riyadh 11671, Saudi Arabia
[4] Int Ctr Primate Brain Res, Shanghai 201602, Peoples R China
[5] Middle East Univ, MEU Res Unit, Amman 11831, Jordan
[6] Jadara Univ, Jadara Res Ctr, Irbid 21110, Jordan
[7] Western Caspian Univ, Baku 1001, Azerbaijan
关键词
cyber-physical system; multi-area power system; sliding mode control; false data injection attacks; attack observer;
D O I
10.3390/en17225757
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Power cyber-physical systems such as multi-area power systems (MAPSs) have gained considerable attention due to their integration of power electronics with wireless communications technologies. Incorporating a communication setup enhances the sustainability, reliability, and efficiency of these systems. Amidst these exceptional benefits, such systems' distributed nature invites various cyber-attacks. This work focuses on the equal power sharing of MAPSs in the event of false data injection (FDI) attacks. The proposed work uses a sliding mode control (SMC) mechanism to ensure timely detection of challenges such as FDI attacks and load change, making MAPSs reliable and secure. First, a SMC-based strategy is deployed to enable the detection and isolation of compromised participants in MAPS operations to achieve equal power sharing. Second, time-varying FDI attacks on MAPSs are formulated and demonstrate their impact on equal power sharing. Third, a robust adaptive sliding mode observer is used to accurately assess the state of the MAPS to handle state errors robustly and automatically adjust parameters for identifying FDI attacks and load changes. Lastly, simulation results are presented to explain the useful ability of the suggested method.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] The data recovery strategy on machine learning against false data injection attacks in power cyber physical systems
    Li, Qinxue
    Yang, Xiaofen
    Xie, Xuhuan
    Liu, Guiyun
    MEASUREMENT & CONTROL, 2024,
  • [42] Stealthy False Data Injection Attacks against State Estimation in Power Systems: Switching Network Topologies
    Wang, Shaocheng
    Ren, Wei
    2014 AMERICAN CONTROL CONFERENCE (ACC), 2014,
  • [43] Location of False Data Injection Attacks in Power System
    Jiang, Junjun
    Wu, Jing
    Long, Chengnian
    Li, Shaoyuan
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 7473 - 7478
  • [44] Distributed Tracking Control of Nonlinear Multi-agent Systems Against False Data Injection Attacks
    Zhang, Yanhui
    Sun, Jian
    Wang, Gang
    Xu, Yong
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 4837 - 4842
  • [45] Managing Flexibility in Multi-Area Power Systems
    Bucher, Matthias A.
    Chatzivasileiadis, Spyridon
    Andersson, Goeran
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (02) : 1218 - 1226
  • [46] DECENTRALIZED OPTIMAL-CONTROL OF MULTI-AREA POWER-SYSTEMS
    ELMETWALLY, MM
    RAO, ND
    IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1976, 95 (03): : 761 - 761
  • [47] Detection of False Data Injection Attacks in Power Systems with Graph Fourier Transform
    Drayer, Elisabeth
    Routtenberg, Tirza
    2018 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2018), 2018, : 890 - 894
  • [48] HIERARCHICAL CONTROL OF A MULTI-AREA POWER GRID
    FEGLEY, KA
    PERRY, PF
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1977, 7 (07): : 545 - 551
  • [49] DETECTION OF FALSE DATA INJECTION ATTACKS IN UNOBSERVABLE POWER SYSTEMS BY LAPLACIAN REGULARIZATION
    Dabush, Lital
    Routtenberg, Tirza
    2022 IEEE 12TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2022, : 415 - 419
  • [50] Security Framework for Cloud Control Systems Against False Data Injection Attacks
    Zhao, Bing
    Zhang, Kexin
    Ogorzalek, Maciej
    Gao, Qing
    Lu, Jinhu
    2023 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS, 2023,